Task 1: Pull and run web app

Pulling and running a docker container using the Docker CLI and the Python SDK. All commands should be run in the command line.

- CLI

docker run -p 8080:8080 -d --name primecheck --rm nclcloudcomputing/javabenchmarkapp # Pull and run the web app
open http://localhost:8080/primecheck # Check the app is working 

- Python SDK

python task-01.py # Pull and run the web app

Task 2: deploy multi-service app

Deploying a multi-service application with 2 replications of a prime number check, a MongoDB database and a swarm visualiser

- CLI

docker swarm init # Initialse swarm
docker stack deploy -c docker-compose.yml cloudproject # Deploy services
docker service ls # Show services 
docker container ls -a # Show containers 
open http://localhost:88 # Check they are running 
open http://localhost:80/primecheck
open http://localhost:3306
docker stack rm cloudproject # Remove stack 
docker swarm leave --force # Leave swarm 

- Python SDK

python task-02-deploy.py # deploy app
python task-02-display.py # displaying services and container ids

open http://localhost:8081 # Check they are running 
open http://localhost:8080/primecheck
open http://localhost:3306

python task-02-leave.py # leave swarm 

Task 3: Load generator

This calls the prime number check URL placing a load on the web application. Allowing system benchmarking.

sh ./task-03-load-generator.sh http://localhost:8080/primecheck 4 2 4

Task 4: Add a Docker monitoring tool

This section adds a Docker monitoring tool, cAdvisor.

- CLI

Run when stack is deployed

docker run --volume=/:/rootfs:ro --volume=/var/run:/var/run:rw --volume=/sys:/sys:ro --volume=/var/lib/docker/:/var/lib/docker:ro --publish=70:8080 --detach=true --rm --name cadvisor google/cadvisor:latest --storage_duration=2m0s --allow_dynamic_housekeeping=false --housekeeping_interval=1s

- Python SDK

python task-04-cadvisor.py # run cadvisor  

Check it is working

open http://localhost:70
sh ./task-03-load-generator.sh http://localhost:80/primecheck 3 5 5 # run the load gen and observe changes 

Task 5: Insert benchmark into mongoDB

Open terminals side by side. Note, the mongoDB has been mounted on the host machine working directory

Terminal 1

Here you can whats going on in the database

docker exec -it 6d8e17481bed mongo # access mongo interactive shell
show dbs # show databases
use project # switch to project database
show collections # show collections 

Terminal 2

This places the load and stores the results

sh ./task-05-master.sh http://localhost:8080/primecheck 150 10 1 four # placing load on web app and storing data 

Task 6: Using R to recreate plot

Running this script recreates plot, memory or cpu usage, in cAdvisor using the data stored in the mongoDB Prerequisites:

• graphics/ folder in working directory, graphics are saved here.
• collection.csv created during Task 4
• databases-names.csv created during Task 4

Rscript R/graphs.R <absolute path to R script directory> <metric> # format
Rscript R/graphs.R /Users/jackwaudby/Library/'Mobile Documents'/com~apple~CloudDocs/csc8110/docker/R memory #example